Tanium, the industry’s leading provider of Converged Endpoint Management (XEM), announced its participation in the Microsoft Security Copilot Partner Private Preview. Tanium was selected based on its proven experience with Microsoft Security technologies, willingness to explore and provide feedback on cutting edge functionality, and close relationship with Microsoft.
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“In the context of security, AI’s impact is likely to be profound, tilting the scales in favor of defenders and empowering organizations to defend at machine speed. At Microsoft, we are privileged to have a leading role in advancing AI innovation, and we are so grateful to our incredible ecosystem of partners, whose mission-driven work is critical to helping customers secure their organizations and confidently bring the many benefits of AI into their environments.” said Vasu Jakkal, CVP, Microsoft Security.
Tanium is working with Microsoft product teams to help shape Security Copilot product development in several ways, including validation and refinement of new and upcoming scenarios, providing feedback on product development and operations to be incorporated into future product releases, and validation and feedback of APIs to assist with Security Copilot extensibility.
“Generative AI and autonomous endpoint management (AEM) has potential across all facets of the security industry, including to help organizations reduce risk while reducing cost and serving as a force-multiplier for security teams to outpace adversaries,” said Matt Quinn, chief technology officer, Tanium. “At Tanium, we believe the powerful AI at the heart of Microsoft Security Copilot, combined with Tanium’s real-time visibility and control across the entire IT estate, can deliver tremendous value to our joint customers. We look forward to our continued work with Microsoft to bring cutting-edge security solutions delivered to organizations at speed and scale.”
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Security Copilot is the first AI-powered security product that further increases security professionals’ ability to respond to threats quickly, process signals at machine speed, and assess risk exposure in minutes. It combines an advanced large language model (LLM) with a security-specific model that is informed by Microsoft’s unique global threat intelligence and more than 65 trillion daily signals.
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